Vehicle starting method based on cloud self-inspection

Abstract

The invention discloses a vehicle starting method based on cloud self-inspection, and the method comprises the steps: collecting vehicle operation data in real time through a vehicle-mounted terminal in a cloud server, carrying out the dynamic analysis and calculation of the data, and carrying out the analysis and evaluation of fine-grained parameters in a point inspection item, such as the current, voltage and other parameters in operation, through a cloud. The method comprises the following steps: according to the degree and time of deviating from a normal value in operation, scoring the vehicle, and according to the weight of each parameter, obtaining a cloud self-inspection score to guide a driver or a vehicle user to evaluate each parameter of the vehicle before the vehicle is started. A driver or a vehicle user can maintain or normally use the vehicle according to a cloud detection result and feedback, so that a more professional detection result is obtained. And a temperature detection sensor is additionally arranged on the vehicle-mounted terminal to monitor the local temperature, and the calculation algorithm is dynamically adjusted through the temperature, so that the influence of the local temperature on the detection result is eliminated.

Description

technical field [0001] The invention relates to the technical field of industrial vehicles, in particular to a method for starting a vehicle based on cloud self-inspection. Background technique [0002] In the process of using industrial vehicles, spot check before driving is an effective means to check vehicle performance and vehicle problems. Before starting the vehicle, the driver or the user of the vehicle checks the parameters of the industrial vehicle such as the oil level, the lifting system of the forklift, whether the gear position is abnormal, whether the foot brake is normal, whether the water and oil tank level is normal, etc., to ensure that the vehicle does not start. It will cause injury to personnel or equipment due to abnormal starting of the vehicle, thereby effectively avoiding the occurrence of such safety accidents; the traditional inspection of industrial vehicles is to roughly check the status of the vehicle before the driver or vehicle operator starts...

AI Technical Summary

Problems solved by technology

Before starting the vehicle, the driver or the user of the vehicle checks the parameters of the industrial vehicle such as the oil level, the lifting system of the forklift, whether the gear position is abnormal, whether the foot brake is normal, whether the water and oil tank level is normal, etc., to ensure that the vehicle does not start. It will cause injury to personnel or equipment due to abnormal starting of the vehicle, thereby effectively avoiding the occurrence of such safety accidents; the traditional inspection of industrial vehicles is to roughly check the status of the vehicle before the driver or vehicle operator starts or according to The instructions of the mobile APP check various parameters. Although the existing technology can avoid some abnormal inspection items, such as the use of tires and the status of the lifting system, it cannot detect some fine-grained parameters such as current parameters, voltage parameters and other operating parameters. usage of

It may be found that there is no abnormality during the inspection, but there are some safety hazards in the actual use process

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